Pharmaceutical Statistics

Author: David S. Jones
Publisher: Pharmaceutical Press
ISBN: 0853694257
Release Date: 2002
Genre: Medical

Pharmaceutical Statistics is a new publication on basic statistics, specifically written for pharmacy students. It contains chapters on basic concepts such as types of data, graphical representation of data, distribution and standard deviation. More advanced, frequently used, statistical techniques such as ANOVA and the chi-squared test are also discussed using pharmaceutical examples. Pharmaceutical Statistics is essential reading for all pharmacy students and will also be of interest to those working in the pharmaceutical industry.

Statistical Abstract of the United States

Author:
Publisher:
ISBN: 0160420474
Release Date: 1993
Genre: Social Science

Provides a wide variety of statistics dealing with the political, social, and economic organization of the United States

Breakthroughs in Decision Science and Risk Analysis

Author: Louis A. Cox
Publisher: John Wiley & Sons
ISBN: 9781118217160
Release Date: 2015-03-30
Genre: Business & Economics

Discover recent powerful advances in the theory, methods, and applications of decision and risk analysis Focusing on recent advances and innovations in the field of decision analysis (DA), Breakthroughs in Decision Science and Risk Analysis presents theories and methods for making, improving, and learning from significant practical decisions. The book explains these new methods and important applications in an easily accessible and stimulating style for readers from multiple backgrounds, including psychology, economics, statistics, engineering, risk analysis, operations research, and management science. Emphasizing topics not traditionally found in DA literature, the book illustrates genuine advances in practical decision science and includes developments and trends that depart from, or break with, the standard axiomatic DA paradigm in fundamental and useful ways. The book features methods for coping with realistic decision-making challenges, including online adaptive learning algorithms, innovations in robust decision-making, and the use of a variety of models to provide more-or-less plausible explanations for available data and recommended actions. In addition, the book illustrates how these techniques can be applied to dramatically improve risk management decisions. Breakthroughs in Decision Science and Risk Analysis also includes: An emphasis on new approaches rather than classical and traditional ideas Discussions of how decision and risk analysis can be applied to improve high-stakes policy and management decisions Coverage of the potential value and realism of decision science within applications in financial, health, safety, environmental, business, engineering, and security risk management Innovative methods for deciding what to do when decision problems are not completely known or described or when useful probabilities cannot be specified Recent breakthroughs in the psychology and brain science of risky decisions, mathematical foundations and techniques, and integration with learning and pattern recognition methods from computational intelligence Breakthroughs in Decision Science and Risk Analysis is an ideal reference for researchers, consultants, and practitioners in the fields of decision science, operations research, business, management science, engineering, statistics, and mathematics. The book is also an appropriate guide for managers, analysts, and decision and policy makers in the areas of finance, health and safety, environment, business, engineering, and security risk management. Louis Anthony (Tony) Cox, Jr. PhD, is Chief Sciences Officer of NextHealth Technologies, a Denver-based health care advanced analytics software company and President of Cox Associates, Inc., a Denver-based applied research company specializing in quantitative health risk assessment, risk analysis, causal modeling, and operations research. Dr. Cox is also Clinical Professor of Biostatistics and Informatics at the University of Colorado at Denver, a member of the National Academy of Engineering, and Editor-in-Chief of Risk Analysis: An International Journal.

Creating Career Success A Flexible Plan for the World of Work

Author: Francine Fabricant
Publisher: Cengage Learning
ISBN: 9781285687285
Release Date: 2013-01-01
Genre: Education

Today's workplace is a dynamic, ever-changing environment. Job security is a thing of the past, layoffs are common, and people change jobs and careers frequently. Students need to be prepared to adapt to the unexpected twists and turns they may face. CREATING CAREER SUCCESS helps students develop a self-directed, proactive, flexible plan to launch and manage their careers over the years to come, using the latest technological resources and job search strategies. Through a process of self-assessment, career exploration, and self-promotion students discover how to connect their skills, interests and values to a variety of possible careers, build relationships, and present themselves in the best possible light to potential employers. Most importantly, students are encouraged to keep their minds and options open, and to engage themselves fully in the career development process. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

The College Handbook 1996

Author: College Board Staff
Publisher: College Board
ISBN: 0874475066
Release Date: 1995-08-01
Genre:

For over 50 years, students and their parents have relied on this handbook for complete facts about colleges throughout the country. The only one-volume guide to all accredited colleges, both two- and four-year schools, the guide provides up-to-date information on admission policies, acceptance rates, financial aid, campus life, majors, and more.

Excel 2016 for Social Work Statistics

Author: Thomas J. Quirk
Publisher: Springer
ISBN: 9783319662213
Release Date: 2017-10-24
Genre: Social Science

This text is a step-by-step guide for students taking a first course in statistics for social work and for social work managers and practitioners who want to learn how to use Excel to solve practical statistics problems in in the workplace, whether or not they have taken a course in statistics. There is no other text for a first course in social work statistics that teaches students, step-by-step, how to use Excel to solve interesting social work statistics problems. Excel 2016 for Social Work Statistics explains statistical formulas and offers practical examples for how students can solve real-world social work statistics problems. This book leaves detailed explanations of statistical theory to other statistics textbooks and focuses entirely on practical, real-world problem solving. Each chapter briefly explains a topic and then demonstrates how to use Excel commands and formulas to solve specific social work statistics problems. This book gives practice in using Excel in two different ways: (1) writing formulas (e.g., confidence interval about the mean, one-group t-test, two-group t-test, correlation) and (2) using Excel’s drop-down formula menus so as not to have to write formulas (e.g., simple linear regression, multiple correlation and multiple regression, and one-way ANOVA). Three practice problems are provided at the end of each chapter, along with their solutions in an Appendix. An additional Practice Test allows readers to test their understanding of each chapter by attempting to solve a specific practical social work statistics problem using Excel; the solution to each of these problems is also given in an Appendix.

Prospect Theory

Author: Peter P. Wakker
Publisher: Cambridge University Press
ISBN: 1139489100
Release Date: 2010-07-22
Genre: Business & Economics

Prospect Theory: For Risk and Ambiguity, provides a comprehensive and accessible textbook treatment of the way decisions are made both when we have the statistical probabilities associated with uncertain future events (risk) and when we lack them (ambiguity). The book presents models, primarily prospect theory, that are both tractable and psychologically realistic. A method of presentation is chosen that makes the empirical meaning of each theoretical model completely transparent. Prospect theory has many applications in a wide variety of disciplines. The material in the book has been carefully organized to allow readers to select pathways through the book relevant to their own interests. With numerous exercises and worked examples, the book is ideally suited to the needs of students taking courses in decision theory in economics, mathematics, finance, psychology, management science, health, computer science, Bayesian statistics, and engineering.